Ralph Aeschimann
About Ralph Aeschimann
Ralph Aeschimann is a Machine Learning Engineer based in the Zürich Area, Switzerland, with a strong academic background in Mechatronics, Robotics, and Automation Engineering. He has worked in various roles in software engineering and research, including positions at Vizrt and Scandit, and has contributed to the development of machine learning algorithms and automated quality assurance systems.
Current Role at Scandit
Ralph Aeschimann currently serves as a Machine Learning Engineer at Scandit, a position he has held since 2019. In this role, he focuses on developing machine learning algorithms tailored for real-time execution on mobile devices. His work includes designing deep neural networks and creating solutions for object and visual text recognition problems. He is also involved in building automated quality assurance systems to evaluate the performance of neural network models.
Education and Expertise
Ralph Aeschimann has a strong educational background in engineering and robotics. He earned a Master of Science (MSc) in Mechatronics, Robotics, and Automation Engineering from Eidgenössische Technische Hochschule Zürich, studying from 2014 to 2016. Prior to that, he completed a Bachelor of Science (BSc) in Mechanical Engineering at the same institution from 2010 to 2013. Additionally, he participated in the Tohoku University Engineering Summer School in Robotics in 2013 and studied Computer Science at The Hong Kong University of Science and Technology in 2015.
Previous Work Experience
Before joining Scandit, Ralph Aeschimann accumulated diverse experience in various roles. He worked at Vizrt as a Software Engineer in Research and Development from 2017 to 2019 and previously completed his Master Thesis focused on Sports Broadcasting Enhancements at the same company in 2016. He also served as a Robotics Research Scientist at CSIRO in Australia from 2013 to 2014. His early career included roles as a Teaching Assistant at ETH Zurich and as a Math Teacher at TEKO Schweizerische Fachschule AG.
Research and Development Contributions
Ralph Aeschimann has made significant contributions in the field of research and development throughout his career. At Vizrt, he was involved in enhancing sports broadcasting technologies. His work at Scandit includes developing machine learning systems and algorithms that improve performance on mobile platforms. He has also designed deep neural networks and automated systems for quality assurance, showcasing his commitment to advancing machine learning applications.
Teaching and Mentorship Experience
Ralph Aeschimann has experience in teaching and mentorship roles, particularly at ETH Zurich, where he worked as a Teaching Assistant from 2012 to 2013 and again from 2014 to 2015. In these positions, he supported students in their learning and contributed to their understanding of complex engineering concepts. His role as a Math Teacher at TEKO Schweizerische Fachschule AG further highlights his dedication to education and knowledge sharing.